Ethiopia Bunna vs Mekelle Kenema: match statistics

Ethiopia Bunna holds an offensive edge at home: on average 8 shots per match, 2.94 on target, and with a conversion rate of 15% this translates to 1.22 goals per match, whereas Mekelle Kenema away averages 6.22 shots, 2.06 on target and scores only 0.61 goals (10% conversion). The visitors, however, defend very solidly on the road — conceding just 0.72 goals on average and keeping 50% clean sheets, while the hosts concede 1.39 goals at home and have only a 17% clean sheet rate, which limits the home advantage. In the last 5 matches Mekelle collected 7 points (1 win, 4 draws), i.e. 1.4 points per game, and Ethiopia only 4 points (1 win, 1 draw, 3 losses), i.e. 0.8 points per game, indicating greater result stability from the visitors. xG confirms a balanced picture: hosts have home xG 1.26 versus visitors' away xG 1.06, so the difference in chance quality is small and a slight home edge can be expected, but not a high number of goals. Considering Ethiopia Bunna's higher season goal output (37 vs 27), better shooting efficiency by the hosts and simultaneously a high share of away matches without a goal for Mekelle (61%), I predict a home win; I propose probability distribution 55% for '1', 30% for 'X' and 15% for '2'.

Mekelle Kenema away shows only 17% BTTS seasonally and 20% BTTS in the last 5 matches; in those five games they scored 2 goals (0.4 per match) and conceded 1 goal (0.2 per match), indicating weak offense and high defensive solidity. Ethiopia Bunna at home seasonally has 61% BTTS and scores on average 0.89 goals per match, but in the last 5 matches their BTTS fell to 40% — they scored 3 goals (0.6 per match) and conceded 5 (1.0 per match), meaning recently they more often concede than create goals. Seasonally hosts concede 1.11 goals per match versus 0.72 for away teams, and xG is 1.14 for hosts against 1.06 for guests, suggesting similar offensive potential with better defense from Mekelle. Additionally Mekelle has 50% clean sheets seasonally, and in the league the share of matches with a clean sheet is 81%, which strongly favors a No Goal / no BTTS scenario. Considering the asymmetry 61% vs 17% season BTTS, the visitors’ weak scoring form and their recent defensive solidity, I forecast 'BTTS - No' as more likely (70% vs 30%).

Expected goals based on xG: Ethiopia Bunna has xG_for 1.14, while opponents concede an average xG of 1.08, yielding 1.11 expected goals for the home side; Mekelle Kenema has xG_for 1.06 and opponents concede 1.23 xG on average, giving 1.15 for the away side, total = 2.26. The league is low-scoring (1.77 goals per game on average), but Ethiopia Bunna have 67% of matches over 1.5 goals this season, and Mekelle Kenema 33%; additionally both teams record over 0.5 in 78% and 72% of matches respectively, which raises the probability of at least two goals. The percentage of matches over 2.5 goals is 39% for the home team and 22% for the away team (league 28%), and over 3.5 is only 17% and 6%, so a 3+ goals scenario is unlikely. The home side averages 2.78 shots on target with a 14% conversion versus 2.06 and 10% for the visitors, which favors a few goals but does not indicate a high-scoring game (3+). In light of these numbers the strongest signal is Over 1.5 (recommendation): expected 1.11 vs 1.15 gives a sum of 2.26, which argues more strongly for Over 1.5 than for lines at 2.5 or 3.5.

The strongest signal from the data is a persistent draw: hosts were level at the break in 56% of matches, and the hosts themselves record 56% draws this season, indicating a high probability of X/X. Additionally, leading at the break correlates with victory — hosts led at half-time in 17% and won 17% of matches, and away teams led at half-time in 22% and won 22% of matches, so 1/1 receives 17% and 2/2 22%. The low number of first-half goals confirms this picture: hosts score on average 0.44 goals by half-time versus 0.22 for visitors, and xG per match is similar (1.14 vs 1.06), which favors maintaining the draw at the break. Although hosts have slightly more shots on target (2.78 vs 2.06), the difference is not sufficient, so I assign 56% to X/X, 17% to 1/1, 22% to 2/2 and small 3% for X/1 and 2% for X/2 as less likely turnaround scenarios after the break.